Camera-Based Calibration Techniques for Seamless Multiprojector Displays
IEEE Transactions on Visualization and Computer Graphics
Calibrating multi-projector cylindrically curved displays for "wallpaper" projection
PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
A camera-based pointer with visual feedback
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
A flexible projector-camera system for multi-planar displays
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A handheld projector supported by computer vision
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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This paper deals with the autocalibration of a systemthat consists of a planar screen, multiple projectors, and acamera. In the system, either multiple projectors or a singlemoving projector projects patterns on a screen while a stationarycamera placed in front of the screen takes images ofthe patterns. We treat the case in which the patterns that theprojectors project toward space are assumed to be known(i.e., the projectors are calibrated), whereas poses of theprojectors are unknown. Under these conditions, we considerthe problem of estimating screen-to-camera homographyfrom the images alone. This is intended for cases wherethere is no clue on the screen surface that enables directestimation of the screen-to-camera homography. One applicationis a 6DOF input device; poses of a multi-beamprojector freely moving in space are computed from the imagesof beam spots on the screen. The primary contributionof the paper is theoretical results on the uniqueness of solutionsand a noniterative algorithm for the problem. Theeffectiveness of the method is shown by experimental resultson synthetic as well as on real images.